MacBook Pro (14-inch, 2024)
Geekbench AI Score
5378
Single Precision Score
37493
Half Precision Score
51037
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | October 26 2025 02:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
17846
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23003
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23024
373.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31960
518.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16870
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122470
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
227391
266.5 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
20110
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
25354
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
45163
536.6 IPS |
|
|
Face Detection (Q)
|
100% |
59428
706.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109791
845.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
178033
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26843
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237173
304.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297659
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47120
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81467
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6627
8.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5511
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16522
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16641
287.6 IPS |
